Identifying Emotions from Walking using Affective and Deep Features

CoRR, 2019.

Cited by: 24|Views17
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Abstract:

We present a new data-driven model and algorithm to identify the perceived emotions of individuals based on their walking styles. Given an RGB video of an individual walking, we extract his/her walking gait in the form of a series of 3D poses. Our goal is to exploit the gait features to classify the emotional state of the human into one...More

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